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Senior Tenure Track Faculty in Philosophy and Computer Science: Ethics & Artificial Intelligence/Machine Learning

Department of Philosophy, Carnegie Mellon University

Job category Senior faculty / Contract type open
AOS Ethics & Artificial Intelligence/Machine Learning
AOS categories Philosophy of Computing
Applied Ethics
AOC Open
Workload Full time
Vacancies 1
Location Pittsburgh, Pennsylvania, United States
Start date Fall 2022
Job description

The Philosophy Department and the School of Computer Science at Carnegie Mellon University seek applications for a full-time, joint appointment at the rank of Full or (tenured or tenure-track) Associate Professor beginning Fall 2022. The area of specialization is interdisciplinary research in Ethics & Artificial Intelligence/Machine Learning. The successful applicant will have deep knowledge of, and experience and publications in, the application of normative theory to AI/machine learning (e.g. privacy, algorithmic fairness, transparency, etc.) and a strong background in either the disciplines of machine learning/AI or philosophy, with substantial knowledge of the other discipline. Publications in both philosophy and AI/machine learning are preferred but not required.

We are seeking an exceptional candidate who can play a leadership role in consolidating and extending Carnegie Mellon’s active and growing efforts in Ethics and AI. The Department of Philosophy and the School of Computer Science strongly support interdisciplinary and collaborative research, and we encourage individuals from diverse intellectual and scientific backgrounds to apply. Experience with or interest in collaborations with government, non-profit, or industry partners is an asset but is not a requirement. The standard teaching load is 2.5 courses over 2 semesters, both undergraduate and graduate courses, as well as other non-teaching responsibilities.

Opportunities for leadership and institutional impact include co-supervision of the K&L Gates Endowment for Ethics and Computational Technologies, which supports research in ethical and policy issues surrounding artificial intelligence. Exceptional candidates may be considered for either the K&L Gates Professorship in Ethics and Computational Technologies or the K&L Gates Career Development Professorship in Ethics and Computational Technologies. Other opportunities for leadership and coordination include leadership of, or coordination with, the Ethics/AI certificate program (in the Dietrich College of Humanities and Social Sciences, the School of Computer Science, and the School of Engineering), the Societal and Human Impacts of Future Technologies minor in the Dietrich College of Humanities and Social Sciences,  the Block Center for Technology and Society, and other Pittsburgh centers in related areas.

Carnegie Mellon is committed to increasing the diversity of its community on a range of intellectual and cultural dimensions. We welcome faculty applicants who will contribute to this diversity through their research, teaching and service. We seek to meet the needs of dual-career couples and we are a member of the Higher Education Recruitment Consortium (HERC) that assists with dual-career searches. Carnegie Mellon University makes every effort to provide physical and programmatic access to individuals with disabilities. If you require an accommodation to participate in any part of the employment process, please contact Equal Opportunity Services by emailing [email protected] or calling 412-268-3930.

  Please visit “Why Carnegie Mellon” to learn more about life in Pittsburgh and becoming part of a welcoming institution that inspires innovations.

Instructions to Apply:

Applications received by December 1, 2021 will be given priority with the deadline for applications closing on Dec 15th. To apply, submit the following materials: a letter of intent which includes a statement addressing past and/or potential contributions to diversity; curriculum vitae; research statement; educational or teaching statement; and two samples of research (e.g. a published paper or book chapter).

Web address to apply: http://apply.interfolio.com/98044

Email any questions to Lisa Everett, [email protected]

How to apply
Application type Online
Web address to apply http://apply.interfolio.com/98044
Hard deadline December 15, 2021, 11:59pm EST
Contact
Contact name Lisa Everett
Bookkeeping
Time created November 4, 2021, 6:12pm UTC
Scheduled expiry date December 15, 2021, 11:59pm EST
Last updated November 4, 2021, 6:12pm UTC
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